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Back to the exampleFor devs juggling 2+ AI coding tools
Batonly captures decisions, constraints, files and tasks as you work, in a file in your repo. Claude, Claude Code and Cursor read it via MCP; ChatGPT and Gemini get a paste-ready handoff.
Free for one project. Context stays in your repo.
Syncing the code is only part of the problem. Every time you switch AI tools, the reasoning behind your project gets left behind, and you're the one who has to carry it over.
“I hit the Claude limit mid-refactor and lost 20 minutes re-explaining it to ChatGPT.”
“I copy it over by hand, then copy the answer back so the first one knows what happened.”
“The handoff summary dropped the one constraint that mattered.”
“My context.md is three weeks old and Cursor still follows rules I changed.”
“Pasting the whole chat just confuses the next model.”
One structured project brief, kept current while you work, readable by whichever tool you open next.
It creates a context file inside your project. Plain text, versioned with your code, stored on your machine.
Claude, Claude Code and Cursor connect over MCP so they can read and update the shared context directly.
As you go, Batonly extracts decisions, constraints, touched files and open tasks from your sessions. No notes to write.
Open the next tool and it already knows the project. For ChatGPT and Gemini, copy a one-click handoff and keep going.
Batonly keeps what the next tool actually needs, and drops what would mislead it.
Every decision is stored as structured state. When you change course, the new entry explicitly supersedes the old one, and tools only see what's current.
Batonly pulls decisions, constraints, file changes and open tasks out of your sessions automatically. You never stop to write a summary or update a notes file.
Where MCP isn't available, Batonly generates a clean, paste-ready handoff: current decisions, constraints, relevant files and next task. No transcript noise.
The project context is a file in your repository, on your machine. Batonly doesn't upload it anywhere. Read it, diff it, commit it like any other file.
Built for you if
You hit usage limits mid-session
Claude runs dry halfway through a refactor and you need to carry on in Cursor or ChatGPT without losing the thread.
You use 2+ AI tools on one project
Claude for planning, Cursor for edits, ChatGPT or Gemini when one gets stuck, and you're tired of relaying between them.
You're a solo dev or indie hacker
No team to share context with, just you and several AI tools that each forget everything the others did.
Probably not for you if
The free options cost time instead of money. Here's where that time goes.
| Criteria | Batonly | Copy-paste & summaries | CLAUDE.md / .cursorrules |
|---|---|---|---|
| Updates itself while you work | Yes | No | No |
| Keeps decisions, constraints and file paths | Yes | Often drops some | If you write them |
| Old decisions can't override new ones | Yes | No | No |
| Works across Claude, Cursor, ChatGPT, Gemini | Yes | By hand, every switch | One file per tool |
| Switching tools takes seconds | Yes | No | Partly |
You already pay for two or three AI tools. Batonly makes them work as one.
For one side project and every AI tool you use on it.
Free
For devs running several projects across several AI tools.
$9/ month
Prices in USD. Cancel anytime.
You can, and it works until you get busy. Hand-kept files go stale mid-session, and old rules keep steering the AI. Batonly updates the context automatically from your sessions and marks replaced decisions as superseded, so tools only see what's current.
Batonly stores the project context as a file in your repo, on your machine, and doesn't upload it anywhere. The AI tools you connect still read it, so it's shared with those providers the same way your prompts already are.
Claude, Claude Code and Cursor connect via MCP and read the shared context directly. For ChatGPT and Gemini, Batonly generates a one-click, paste-ready handoff.
The context is a readable file in your repo. Open it, fix the entry, and every tool sees the correction. Because it's versioned with your code, you can also diff and roll back.
Built-in memory is locked to one vendor and invisible to your other tools, and you can't easily see what it kept. Batonly's context is one file every tool reads, and you can inspect all of it.
Generic memory servers store raw key-value notes. Batonly is structured around decisions, constraints, files and tasks, tracks what superseded what, and still helps in tools without MCP via handoffs.
Free for one project. Pro is $9/month for unlimited projects.
Batonly keeps your project's decisions, constraints and tasks ready for whichever AI you open next.